write assumptions for result of this methodology for geothermal renewable energy: i. Geothermal Power Forecast Assumptions:

Geothermal power forecast for October 2019, 2020, and 2021.Units are in gigawatts (GW).

Data:

October 2019 Geothermal Forecast: 0.79 GW October 2020 Geothermal Forecast: 0.46 GW October 2021 Geothermal Forecast: 0.70 GW

ii. Geothermal Power Formula

P=MC(ThTc)E

Where:

P, is the power output. M, is the mass flow rate of the geothermal fluid. C, is the specific heat capacity of the fluid. Th, is the temperature of the hot reservoir. Tc, is the temperature of the cold reservoir. E, is the efficiency of the power plant.

Additional Information:

This formula is a simplified view of the Rankine cycle used in geothermal power plants. Comprehensive geothermal power forecasts consider geological surveys, reservoir modeling, and economic analysis.

iii. World Geothermal Capacity Additions (2019-2021)

Data: World geothermal capacity additions, 2019: [759 MW] World geothermal capacity additions, 2020: [202 MW] World geothermal capacity additions, 2021: [246 MW]

iv. Geothermal Economic Models (GEOPHIRES and GETEM)

Information:

GEOPHIRES: Open-source tool for estimating levelized costs based on input parameters. GETEM: NREL spreadsheet model assessing LCOE for geothermal projects but lacks probabilistic modeling. SAM (System Advisor Model): Integrates GETEM logic, supporting residential and third-party projects with Monte Carlo simulation. Considerations: Existing models lack dynamic decision-making and flexibility over a project's lifetime. There is a need for a more adaptable modeling approach to address uncertainties. v. Geothermal Power Forecast Formula

P=MC(ThTc)E

Where:

P is the power output.

M is the mass flow rate of the geothermal fluid.

C is the specific heat capacity of the fluid.

Th is the temperature of the hot reservoir.

Tc is the temperature of the cold reservoir.

E is the efficiency of the power plant.

Additional Information: This formula represents a simplified view of the Rankine cycle used in geothermal power plants. Geothermal power forecasting involves detailed analysis considering reservoir characteristics, well performance, plant efficiency, and economic considerations.